{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XYIYHK3Z4KMLVMVL55GFHQZ5B4","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d9260eae447cb399d5d0f9c9c3198a37235f90bbc5fc2e6fecd44c861a728a90","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-11T09:19:23Z","title_canon_sha256":"10c9e051b77fecd72ae222d462b58f1481490470fa5a33a99f18dcb1ef63e084"},"schema_version":"1.0","source":{"id":"2410.08649","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.08649","created_at":"2026-07-05T09:19:15Z"},{"alias_kind":"arxiv_version","alias_value":"2410.08649v1","created_at":"2026-07-05T09:19:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.08649","created_at":"2026-07-05T09:19:15Z"},{"alias_kind":"pith_short_12","alias_value":"XYIYHK3Z4KML","created_at":"2026-07-05T09:19:15Z"},{"alias_kind":"pith_short_16","alias_value":"XYIYHK3Z4KMLVMVL","created_at":"2026-07-05T09:19:15Z"},{"alias_kind":"pith_short_8","alias_value":"XYIYHK3Z","created_at":"2026-07-05T09:19:15Z"}],"graph_snapshots":[{"event_id":"sha256:e3baf4f99a7b2e820c36d245328b6a8cab623b37af6b6edb078f5f7b6f5e5f70","target":"graph","created_at":"2026-07-05T09:19:15Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2410.08649/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Forecasting a typical object's future motion is a critical task for interpreting and interacting with dynamic environments in computer vision. Event-based sensors, which could capture changes in the scene with exceptional temporal granularity, may potentially offer a unique opportunity to predict future motion with a level of detail and precision previously unachievable. Inspired by that, we propose to integrate the strong learning capacity of the video diffusion model with the rich motion information of an event camera as a motion simulation framework. Specifically, we initially employ pre-tr","authors_text":"Guangming Shi, Jinjian Wu, Junhui Hou, Song Wu, Zhiyu Zhu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-11T09:19:23Z","title":"E-Motion: Future Motion Simulation via Event Sequence Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.08649","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:46c93920d7c919652f751611b6b5c33dfc7e6823cea1e128693d0acdd86734a1","target":"record","created_at":"2026-07-05T09:19:15Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d9260eae447cb399d5d0f9c9c3198a37235f90bbc5fc2e6fecd44c861a728a90","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-11T09:19:23Z","title_canon_sha256":"10c9e051b77fecd72ae222d462b58f1481490470fa5a33a99f18dcb1ef63e084"},"schema_version":"1.0","source":{"id":"2410.08649","kind":"arxiv","version":1}},"canonical_sha256":"be1183ab79e298bab2abef4c53c33d0f2376629bc0518dbdc54381f5b11b52f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be1183ab79e298bab2abef4c53c33d0f2376629bc0518dbdc54381f5b11b52f7","first_computed_at":"2026-07-05T09:19:15.673850Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:19:15.673850Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZUhKcJnuEfF6jTqriJne69tbPNq36WTIqi/OFTs6ICARL4E8aFqNofLpjBG94zG8/AqyMEFZt7cFxJ0fVEFhCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:19:15.674326Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.08649","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:46c93920d7c919652f751611b6b5c33dfc7e6823cea1e128693d0acdd86734a1","sha256:e3baf4f99a7b2e820c36d245328b6a8cab623b37af6b6edb078f5f7b6f5e5f70"],"state_sha256":"fdc721399788fe9ef3374bb840ef4848ed9e7dbde8d1e15bf81193e2934c462f"}